Morphometry and digital AgNOR analysis in cytological imprints of benign, borderline and malignant serous ovarian tumours

AIM: The aim of the study was to determine values of a quantitative morphometry analysis of nuclear characteristics and argyrophilic nucleolar organizer regions (AgNORs) in differential cytodiagnosis of benign, atypically proliferating (borderline) and malignant serous ovarian tumours. METHODS: Cytological imprints of benign (n = 20), borderline (n = 19) and malignant (n = 20) ovarian serous tumours were analysed. A computerized, digital analysis was used to determine morphometric nuclear features, the number and characteristics of single AgNORs, cluster AgNORs, total AgNOR and AgNOR area/nucleus (relative area) ratio. According to their size AgNORs were classified in three categories. A one-way variance analysis and post hoc test (Scheffé) were used for statistical analysis. RESULTS: The morphometric nuclear analysis showed that benign, borderline and malignant serous ovarian tumours are statistically different (P < 0.001) according to the area and outline, the values being highest in malignant tumours and lowest in the borderline group. Digital analysis of AgNORs in benign, borderline and malignant groups showed that the total AgNOR number increases with progression of the lesion (meaning tumour malignancy) significantly (P < 0.001) between benign and malignant as well as between borderline and malignant serous ovarian tumours (P < 0.001). The progression of the lesion malignancy was accompanied by a significant (P < 0.001) progressive increase of the total and relative AgNOR area per nucleus. The AgNOR size increases from benign to malignant tumours and a statistically significant difference (P < 0.001) was observed in all three groups regarding small and large AgNORs. CONCLUSION: Combining different markers of morphometric nuclear characteristics and AgNOR values could improve differential cytodiagnosis of benign, borderline and malignant serous ovarian tumours.     

Discrimination between benign and malignant melanocytic skin lesions by multivariate analysis, quantitative S-100 immunohistochemistry, nuclear morphometry and DNA cytometry

OBJECTIVE: To determine whether combined quantitative immunohistochemistry of S-100, nuclear morphometry and DNA image cytometry improves discrimination between benign and malignant melanocytic skin lesions (MSLs). STUDY DESIGN: S-100 protein expression was measured in tissue sections of MSLs using an image cytometry system. Localized areas of high S-100 expression were used to identify regions in sequential, facing sections in which morphometric and cytometric features of nuclei, including DNA ploidy, were also measured. RESULTS: Malignant cases had significantly higher S-100 protein staining intensity, larger nuclei and greater DNA content (P < .05). High staining intensity for S-100 protein weakly correlated with variation in size of the mean nuclear area (P = .04) and DNA content (P = .03). Combining the features of nuclear area and DNA integrated optical density in areas of high-intensity staining for S-100 protein discriminated more accurately between 12 benign and 16 malignant areas than any of the features along (P = .0003). CONCLUSION: Combined multivariate quantitative immunohistochemical, morphometric and DNA cytometric analysis greatly improves discrimination between benign MSLs and malignant melanoma. Larger test sets are required to confirm the promising results of this initial study.     

Diagnosis and prognosis of neuroendocrine tumours of the lung by means of high resolution image analysis.

Neuroendocrine tumours (NET) of the lung are divided in subtypes with different malignant potential. The first is the benign or low-grade malignant tumours, well-differentiated, called typical carcinoids (TC) and the second is the high-grade malignant tumours, poorly differentiated of small (SCLC) or large cell type (LCLC). Between these tumour types lies the well-differentiated carcinoma with a lower grade of malignancy (WDNEC). In clinical routine it is very important with regard to prognosis to distinguish patients with low malignant potential from those with higher ones. In this study 32 cases of SCLC, 13 of WDNEC and 14 of TC with a follow-up time up to 7 years were collected. Sections 4 microm thick from paraffin embedded tissue were Feulgen stained. By means of high resolution image analysis 100 nuclei per case were randomly gathered to extract morphometric, densitometric and textural quantitative features. To investigate the ploidy status of the tumour the corrected DNA distribution was calculated. Stepwise linear discriminant analysis to differentiate the classes and Cox regression analysis for the survival time analysis were applied. Using chromatin textural and morphometric features in two two-class discriminations, 11 of the 14 TC cases and 8 of the 13 WDNEC cases were correctly classified and 11/13 WDNEC cases and 28/32 SCLC cases, respectively. The WDNEC cases are more similar in chromatin structure to TC than to SCLC. For the survival analysis, only chromatin features were selected to differentiate patients with better and worse prognosis independent of staging and tumour type.     

Morphometry, densitometry and pattern analysis of plastic-embedded histologic material from urothelial cell carcinoma of the bladder.

An image analysis method of grading histologic sections of bladder carcinoma was tested. The method was new in four respects. First, for fixation of the biopsies a coagulant fixative was used. Second, 2-microns plastic sections were used to ensure the reproducibility of nuclear imaging. Third, a new stereologic approach was used for calculation of the nuclear volume and DNA content. Fourth, for the classification rule the morphometric, densitometric and texture features were used in concert. The IBAS 2000 instrument was used for the measurements. Texture analysis of the chromatin patterns was performed using Markovian texture features. Using discriminant analysis, of 22 parameters, 2 morphometric, 2 densitometric and 3 texture features were selected for the classification rule. With them, 89% of the bladder carcinomas were correctly classified into the three grades. All grade III tumors were classified correctly. Among the features tested, the densitometry of the DNA had the highest F values. All of the grade III tumors and 45% of the grade II tumor group had DNA histograms indicating aneuploidy. This study showed that plastic-embedded material is well suited to morphometry and densitometry and can be used for quantitative grading of bladder carcinoma.     

Tumour ploidy, morphometry, histological grading and clinical features in ovarian carcinoma: mutual relations

The relationship between tumour ploidy and qualitative and quantitative histopathology was assessed in a series of 95 ovarian carcinomas. 67% of the tumours were non-diploid (DNA aneuploid). 56% of the early stage (I-II) tumours were non-diploid and 81% of the tumours in advanced (III-IV) stages were aneuploid. Histological grading failed to show a clear relationship between increasing malignancy grade and ploidy. There was a close association between DNA ploidy and nuclear perimeter, area and shortest and longest nuclear diameter: the nuclei of non-diploid tumours were generally larger. Also the number of mitotic figures per square millimeter of epithelium in the microscope image (volume-corrected mitotic index, M/V-index) differed significantly between near-diploid and non-diploid tumours. Discriminant analysis showed that 74% of the learning-set tumours (67% of the test set tumours) could be correctly classified in low-ploidy and high-ploidy categories with morphometric features (nuclear perimeter, M/V-index and volume percentage of epithelium). Characteristic features of non-diploid ovarian tumours--rapid proliferation and large nuclear size--could be assessed with morphometric methods which allowed a relatively large aneuploid tumour group to be distinguished.     

Further testing of morphometric grading in T(A,1) urothelial carcinomas of the urinary bladder and the additional value of p53 immunoquantitation

OBJECTIVE: To analyze the value for grading of a previously developed quantitative morphometric/cytometric multivariate grading model (consisting of the mean nuclear area of the 10 largest nuclei (MNA-10, mitotic activity index = MAI and Ki-67 area% = Ki-67) in two new independent test sets of urothelial carcinomas (UCs) of the urinary bladder and to evaluate the additional value of p53 area% (p53) in this model. STUDY DESIGN: Ki-67 immunoquantitation, morphometric MAI and MNA-10 assessments using a previously described, strict protocol and matching of the resulting morphometric grade with subjective grade in two test sets of 154 T(A,1) UCs of the bladder (consensus grade between two independent observers). Further testing of this morphometric grading model was performed in 57 cases that lacked initial interobserver agreement on grade. Single and multivariate analysis of all features (including p53) was performed. RESULTS: With the previously developed morphometric/cytometric grading model, 93% (grade 1 vs. 2) and 91% (grade 2 vs. 3) of the consensus cases were correctly classified. These percentages were very similar to previous results, suggesting that the model is robust. Of the 57 cases that lacked initial interobserver agreement on grade, 53/57 (93%) were classified unambiguously as grade 1, 2 or 3 with the quantitative morphometric/ cytometric grading model. In the exploratory analysis, p53 was significant but with more overlap than the other features had. In multivariate analysis p53 did not improve the overall classification result of the original morphometric/cytometric model. CONCLUSION: The value of MNA-10, MAI and Ki-67 for grading in T(A,1) urothelial carcinomas of the urinary bladder was confirmed. p53 Did not improve overall grading classification of this combination.     

Children mesenchymal tumours in cytomorphometric assessments

This paper offers the quantitative morphological data (light-optical morphometry with the aid of a graduated eyepiece micrometer) of some mesenchymal children tumours. 3 cases of neurofibrosarcoma with various degrees of differentiation were morphometrically expressed, compared with morphometric epithelial tumour data. The differences between both tissues, which existed after routine histomorphological studies, were also quantitatively confirmed (3 times smaller morphometric parameters for neurofibrosarcomas). These measurements were used as initial attempts at quantitative evaluation expansion in pathology.     

Morphometric analysis of fine needle aspirates from breast lesions

In an attempt to discover the morphometric variables with the most diagnostic power in the differentiation of benign from malignant breast disease, 20 unequivocally benign and 20 unequivocally malignant and histologically confirmed breast aspirates were examined on an image analyser. It was found that standard deviation of nuclear area was the most discriminant variable. Then 23 aspirates initially diagnosed as 'suspicious of malignancy' were measured by the same technique, and standard deviation of nuclear area correctly differentiated all but three cases.     

Computerized interactive morphometry as an aid in the diagnosis of pleural effusions

A morphometric study of cytologic preparations from patients with benign and malignant (mesothelioma and carcinoma) pleural effusions is reported. The routine cytologic smears from these specimens were studied with a new system of video-based computerized interactive morphometry (CIM) that allows the measurements of real-time images of cell profiles by the simple procedure of touching the two extreme points of a diameter of interest on a touch-sensitive screen. For each cell, the nuclear profile diameter (NPD) and the cytoplasmic profile diameter (CPD) are measured and categorized into classes with 2-microns intervals; the NPD/CPD ratio is also calculated. The mean NPD is calculated for the specimen after measurement of 100 cells. The data were interpreted by two independent methods: a statistical method of discriminant analysis that classifies the lesions as benign, carcinoma or mesothelioma and provides a probability statement of membership in a particular diagnostic class and an ad-hoc algorithm that categorizes the effusions as benign or malignant based on hierarchic analysis. A data base derived from study of the first 24 cases was constructed and utilized for the test classification of the second 24 cases, which were treated as specimens of unknown diagnosis. The discriminant analysis correctly classified 21 of the 24 test cases into their proper diagnostic groups. The algorithm for a computer-generated pathologic diagnosis correctly identified 47 of the 48 cases as benign or malignant. The technical advantages of video-based CIM over the existing morphometric methods are discussed.     

Intraoperative imprint cytology of the thyroid gland with computer-assisted morphometric analysis of cell clusters

Imprint preparations were used in addition to frozen sections in the intraoperative diagnosis of 37 cases of benign and malignant lesions of the thyroid gland, including adenomatous goiter, follicular adenoma, follicular carcinoma and papillary carcinoma. In the imprints, the cytologic features specific for carcinoma, as compared with benign lesions, were (1) the folding of the nuclear contour, (2) the increased density of the cytoplasmic matrix and (3) the frequent appearance of cell clusters of larger size. The size and frequency of cell clusters were morphometrically analyzed by a computer image analyzer. There was an increasing number of large clusters, plus the appearance of clusters of more than 300 micron in diameter, in both follicular and papillary carcinoma. In benign lesions, on the contrary, the majority of cells were isolated or in small clusters, the diameter of which never exceeded 300 micron in diameter. These results demonstrate that (1) the imprint cytology of the thyroid gland is useful in making a rapid intraoperative diagnosis and (2) the introduction of computer-assisted quantitative analysis is of practical value in the diagnosis of malignancy.     

A morphometric analysis of cytological features of tall cell variant and classical papillary carcinoma of the thyroid

In order to assess whether morphometric parameters could be of value in distinguishing between tall cell variant and classical pattern of thyroid papillary carcinoma, the fine needle aspiration cytology (FNAC) samples of 14 cases were analysed using Arcimage 5 software on an Acorn computer. Histological examination of the specimens allowe classification of nine of them as classical pattern and the remaining five as tall cell variants. The nuclear diameter (NDD) and standard deviation distribution (NDSDD), th nuclear area (NAD) and standard deviation distribution (NASDD), and the nuclear/cytoplasmic ratio (NCR) were assessed on May-Grunwald-Giemsa stained smears. Statistical analysis was performed by use of one-way analysis of variance (ANOVA) of the two groups as identified by histology. Whilst NDD (P = 0.007), NAD (P = 0.015) and NADSD (P = 0.026) all appeared statistically significant, NDSD (P = 0.06) and NCR (P = 0.71) were not. The cytological diagnosis of papillary carcinoma is established and reproducible, but morphometric data on the thyroid have so far focused on the differential diagnosis between benign and malignant nodules. The choice of simple morphometric parameters appears to be helpful in the preoperative distinction between the classical pattern and tall cell variant of papillary carcinoma.     

Automated analysis of rat breast tumors. Comparison of four methods

Chemically-induced malignant rat breast tumors pose diagnostic dilemmas since the majority are well-differentiated, noninvasive papillary lesions that are barely distinguishable from benign papillary lesions. This study compared several automated modalities to see which best separated benign from malignant breast tumors. Thirty-three carcinogen-induced rat breast tumors (13 adenomas, 10 papillary carcinomas and 10 invasive carcinomas) were evaluated by static (image) cytometry (ICM) of integrated optical density, by flow cytometry (FCM) and by two automated morphometric protocols, contextual analysis and single-gland analysis. DNA ploidy analysis, by either ICM or FCM, did not discriminate between the benign and malignant tumors. Contextual analysis correctly identified 11 of 13 benign and 17 of 20 malignant lesions (P less than .01). Single-gland analysis correctly identified all 13 benign and 17 of 20 malignant lesions (P less than .01). No method distinguished invasive from noninvasive carcinomas. The data suggest that architectural features are more important than nuclear features in differentiating benign from malignant rat breast tumors.     

Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma

OBJECTIVE: To develop an image analysis system for automated nuclear segmentation and classification of histologic bladder sections employing quantitative nuclear features. STUDY DESIGN: Ninety-two cases were classified into three classes by experienced pathologists according to the WHO grading system: 18 cases as grade 1, 45 as grade 2, and 29 as grade 3. Nuclear segmentation was performed by means of an artificial neural network (ANN)-based pixel classification algorithm, and each case was represented by 36 nuclei features. Automated grading of bladder tumor histologic sections was performed by an ANN classifier implemented in a two-stage hierarchic tree. RESULTS: On average, 95% of the nuclei were correctly detected. At the first stage of the hierarchic tree, classifier performance in discriminating between cases of grade 1 and 2 and cases of grade 3 was 89%. At the second stage, 79% of grade 1 cases were correctly distinguished from grade 2 cases. CONCLUSION: The proposed image analysis system provides the means to reduce subjectivity in grading bladder tumors and may contribute to more accurate diagnosis and prognosis since it relies on nuclear features, the value of which has been confirmed.     

DNA ploidy and nuclear morphometry for the classification of dysplastic nevi

OBJECTIVE: To examine the diagnostic value of DNA ploidy and nuclear morphometric features in sporadic dysplastic nevi as compared to those in compound nevi and melanoma. STUDY DESIGN: DNA ploidy profiles plus seven direct and three derived nuclear features were obtained in a series of 120 melanocytic skin neoplasms (30 dysplastic nevi [DN], 30 melanomas [MM], 60 compound nevi [CN]) and the results compared. RESULTS: DNA ploidy separated melanomas from benign melanocytic skin neoplasms with 96.5% accuracy in classifying the grouped cases. The derived nuclear shape factor Form PE and nuclear axis ratio were the most successful discriminants separating DN from MM but allowed only 73.3% correct classification of cases. Separation of DN from CN was best achieved using Form PE and mean nuclear area (74.4% correctly classified). Results from compound nevi in subjects < 25 years of age fell between those for DN and MM. CONCLUSION: Quantitative nuclear cytologic characteristics in sporadic dysplastic nevi span a range seen in common nevi through to those in thin melanomas. Cytologic changes in sporadic dysplastic nevi overlap those seen in other melanocytic skin neoplasms. Therefore, other reproducible morphometric features need to be assessed in order to further refine the histopathologic diagnosis of this entity.     

Clinical and cytologic features of papillary neoplasms of the breast

OBJECTIVE: To compare the cytologic features benign and malignant papillary breast lesions. STUDY DESIGN: We reviewed the clinical and cytologic features in 29 cases of intraductal papilloma and 26 cases of atypical papilloma or papillary carcinoma that had been diagnosed by histologic examination. The diameter of the mass was examined as a clinical feature. The cytologic features evaluated were as follows: bloody background, row of tall columnar cells, naked bipolar nuclei, hemosiderin-laden macrophages, myoepithelial cells, single scattered atypical cells, cellularity, nuclear atypia, nuclear grade, apocrine metaplasia, eosinophilic cytoplasmic granules, papillary clusters, small papillae, cell balls and large sheets. RESULTS: Of the features evaluated, the diameter of the mass, naked bipolar nuclei and cell balls differed significantly between benign and atypical or malignant papillary neoplasms. The average diameter of a benign papillary neoplasm was 1.8 cm, and that of an atypical or malignant papillary neoplasm was 2.2 cm (p = 0.042). Naked bipolar nuclei were found in 27 cases of benign papillary neoplasm (93.1%) versus 19 cases of atypical or malignant papillary neoplasm (73.1%) (p = 0.050). Cell balls were found in 14 (48.3%) and 21 (80.8%) cases, respectively (p = 0.012). All 6 cases in which cell balls were present and naked bipolar nuclei were absent proved to be atypical or malignant papillary neoplasms. Of 17 cases in which cell balls were absent and naked bipolar nuclei present, 13 (76.5%) were benign papillary neoplasms. CONCLUSION: Most cytologic features overlapped in benign and atypical or malignant papillary neoplasms. Although they were not pathognomonic, naked bipolar nuclei and cell balls were cytologic features that differed significantly between benign and atypical or malignant papillary neoplasms. When papillary neoplasms of the breast are suspected in a cytologic smear, the combination of clinical examination, mammography and cytologic features should be considered to make the correct diagnosis.     

Role of fine needle aspiration cytology in the diagnosis of soft tissue tumours and tumour-like lesions

In this study, we evaluated the usefulness of fine needle aspiration cytology (FNAC) in the diagnosis of soft tissue tumours. We have also assessed the various pitfalls of FNAC of soft tissue tumours. This was a retrospective study and here we analysed only 82 histopathology proven cases of FNAC of soft tissue tumours diagnosed in a five and half year period. On histopathological examination, 55 of these cases were malignant and 27 were benign. There was a total of 15 recurrences and histopathology was available prior to FNAC in only eight of these cases. Therefore, excluding these eight cases, malignant tumours were primarily diagnosed by FNAC in 47 cases. The sensitivity, specificity and positive predictive value of FNAC in diagnosis of soft tissue tumours were 91.5%, 92.5% and 95.5%, respectively. Only 22 of 47 cases (46.8%) were correctly categorized. There were two false-positive and four false-negative cases. One case each of fibromatosis and schwannoma were reported as sarcoma. False-negative cases were fibrosarcoma (1), malignant nerve sheath tumour (2) and haemangiopericytoma (1). FNAC was very useful in distinguishing benign from malignant soft tissue tumours. However, it was not so effective in exact categorization of tumours.     

Morphometric differences between cytologically benign and malignant serous effusions

The morphometric differences between benign and malignant serous effusions, as diagnosed by standard cytologic criteria in 95 unselected cases (50 benign and 45 malignant), were studied using the IBAS semi-automated image analysis system, which calculates various parameters from tracings of cellular and nuclear outlines. Fourteen cases were also stained for cytokeratin proteins (with the CAM 5.2 antibody) by the immunoperoxidase technique and reanalyzed for positive cells. Significant differences were found for mean values between cytologically benign and malignant cases for cellular and nuclear areas, perimeters and maximum diameters, but not for two form factors. Some differences were enhanced in the CAM 5.2-stained cases. Real morphometric differences in samples of cells from benign and malignant cases are the basis of cytologic diagnosis. Fully automated diagnostic systems could operate on arbitrary threshold values, but there is considerable overlap in specimen means for all parameters between benign and malignant cases.     

A morphometric ultrastructural study of the nucleus of cerebellar granule cells

A quantitative approach to the nuclear ultrastructure of cerebellar granule cells is described here. The study was made using conventional electron microscopy from cerebellar cortices of adult rats by means of a semiautomatic image analyzer. The basic observation is that the nuclei of mature granule cells constitute a homogeneous population in terms of morphometric and stereologic data; in fact, the volume density of condensed chromatin within the nuclei remains practically constant in all nuclear sections. These results seem to indicate the existence of a cell-specific nuclear morphometric phenotype which might be considered as an effective criterion for the typification of this cellular lineage.     

A comparative study in morphometric grading of transitional cell carcinoma of the urinary bladder

To overcome the considerable observer inconsistency in the histologic grading of transitional cell carcinomas, the value of four different morphometric grading methods was investigated in 61 tumors of the bladder. Only two methods showed satisfactory reproducibility. Both methods, one based on random nuclear sampling and the other on selective nuclear sampling, showed an increase in the mean and standard deviation of the nuclear area with higher tumor grades (P less than .00001). Morphometric classification of the learning set (44 cases) was in agreement with the unequivocally assessed histologic grade in 35 cases (79.5%) using random sampling and in 38 cases (86.4%) using selective sampling. By reducing the grading classes to "low" (grades 1 and 2) and "high" (grade 3) and by introducing a classification probability threshold (0.80), an accurate morphometric classification was achieved in 38 cases (86.4%) using random sampling and in 41 cases (93.2%) using selective sampling. Of the 17 cases with histologic grading discrepancies, all 10 low-grade tumors (with discrepancies of grade 1 versus grade 2) were correctly classified as low-grade carcinomas by both of the morphometric methods; in the remaining 7 cases, with low-versus-high discrepancies (grade 2 versus grade 3), the selective method yielded better correlation with the tumor stage and clinical follow-up. It is concluded that morphometric classification is an acceptable alternative for histologic grading by pathologists, provided that the reproducibility of the method is confirmed. Although both random and selective sampling yielded satisfactory classifications, the selective method gave more reliable results as confirmed by the clinical behavior.